The "did not answer" option seems to be distorting the perception of the results. Perhaps structuring the presentation of the data with those percentages removed would be more straightforward to visualise.
PRIMARY LANGUAGE: English: 1009, 67.8% German: 58, 3.6% Finnish: 29, 1.8% Russian: 25, 1.6% French: 17, 1.0% Dutch: 16, 1.0% Did not answer: 15.2%
Percentages including the non respondents is misleading, at first glance you could be mistaken for thinking there is a significant population of Non-English speakers as less than 70% of people who completed the survey answered English.
Non-respondents removed:
English: 1009, 87% German: 58, 5% Finnish: 29, 3% Russian: 25, 2% French: 17, 2% Dutch: 16, 1% 15.2% of the sample did not answer
This seems like it would be a better representation of the data which could be applied to the other questions.
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Done. If I were to make a wager I'd say that the correlation between a low digit ratio and stereotypically masculine traits is fairly weak, based on my own >90th percentile high digit ratio yet high masculinity/low femininity scores on the inventory (as well as anecdotal reports from others corroborating my stereotypically masculine traits)